deep-plasma-phenotyping/somascan-ad-classification-tabpfn-v2

69 lightweight, standalone models that predict continuous Alzheimer's-disease–related phenotypes (cognition, neuropathology burden, motor/functional measures, demographics, a genetic risk score, and longitudinal change) from SomaScan plasma proteomics.

A lightweight plasma-protein aging clock that predicts chronological age from 85 unique inflammatory proteins measured by SomaScan (125 aptamers / SomaScan features). The model is a TabM† student distilled from a TabPFN v2 teacher, so it runs at inference without any TabPFN dependency (small,…

A lightweight plasma-protein aging clock that predicts chronological age from 92 Olink Inflammation-panel proteins. The model is a TabM† student distilled from a TabPFN v2 teacher, so it runs at inference without any TabPFN dependency (small, DUA-friendly artifacts).

Winnow recalibrates confidence scores and provides FDR control for de novo peptide sequencing (DNS) workflows. This repository hosts a pretrained, general-purpose calibrator that maps raw InstaNovo model confidences and complementary features (mass error, retention time, beam features, fragment…

Winnow recalibrates confidence scores and provides FDR control for de novo peptide sequencing (DNS) workflows. This repository hosts a calibrator trained on the HeLa Single Shot dataset as referenced in our paper: De novo peptide sequencing rescoring and FDR estimation with Winnow.

PPTStab: Prediction and Designing of thermostable proteins with a desired melting temperature